Véronique Drai-Zerbib
- Cognitive Neuroscience top 10%
- Social Psychology top 10%
- Experimental and Cognitive Psychology top 10%
- Human-Computer Interaction top 5%
- Information Systems and Management top 10%
- Co-authors
- Thierry BaccinoSimone BenedettoMarco PedrottiAndrea CarboneEmmanuel BigandBénédicte Poulin-CharronnatAnnie VinterAlice Latimier
- Topics
- Visual and Cognitive Learning Processes (11 papers)Multisensory perception and integration (8 papers)Neuroscience and Music Perception (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEComputers in Human Behavior
In The Last Decade
Véronique Drai-Zerbib
22 papers receiving 357 citations
Peers
Comparison fields: 5 of 66
- Cognitive Neuroscience 172
- Social Psychology 155
- Experimental and Cognitive Psychology 99
- Human-Computer Interaction 92
- Information Systems and Management 36
Countries citing papers authored by Véronique Drai-Zerbib
This map shows the geographic impact of Véronique Drai-Zerbib's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Véronique Drai-Zerbib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Véronique Drai-Zerbib more than expected).
Fields of papers citing papers by Véronique Drai-Zerbib
This network shows the impact of papers produced by Véronique Drai-Zerbib. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Véronique Drai-Zerbib. The network helps show where Véronique Drai-Zerbib may publish in the future.
Co-authorship network of co-authors of Véronique Drai-Zerbib
This figure shows the co-authorship network connecting the top 25 collaborators of Véronique Drai-Zerbib. A scholar is included among the top collaborators of Véronique Drai-Zerbib based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Véronique Drai-Zerbib. Véronique Drai-Zerbib is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 9 | |
| 10 | 4 | |
| 11 | 9 | |
| 12 | 6 | |
| 13 | 11 | |
| 14 | 6 | |
| 15 | 111 | |
| 16 | 137 | |
| 17 | 6 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 16 |
About Véronique Drai-Zerbib
Véronique Drai-Zerbib is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Social Psychology, having authored 26 papers that have together received 389 indexed citations. Recurring topics across this work include Visual and Cognitive Learning Processes (11 papers), Multisensory perception and integration (8 papers) and Neuroscience and Music Perception (8 papers). The work is most often cited by research in Human-Computer Interaction (92 citations), Music (36 citations) and Cognitive Neuroscience (172 citations). Véronique Drai-Zerbib has collaborated with scholars based in France, Canada and Spain. Frequent co-authors include Thierry Baccino, Simone Benedetto, Marco Pedrotti, Andrea Carbone, Emmanuel Bigand, Bénédicte Poulin-Charronnat, Annie Vinter, Alice Latimier, María José Escalona and Sébastien Paris. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Computers in Human Behavior.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.